56 citations · 74 across the 6 of their papers we have counts for
3 papers · 1 filter
Personalizing Federated Learning with Over-the-Air Computations
Zihan Chen, Zeshen Li, Howard H. Yang +1
Federated edge learning is a promising technology to deploy intelligence at the edge of wireless networks in a privacy-preserving manner. Under such a setting, multiple clients col…
FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Jingyi Xu, Zihan Chen, Tony Q. S. Quek +1
Federated learning (FL) is a privacy-preserving distributed learning paradigm that enables clients to jointly train a global model. In real-world FL implementations, client data co…
Dynamic Attention-based Communication-Efficient Federated Learning
Zihan Chen, Kai Fong Ernest Chong, Tony Q. S. Quek
Federated learning (FL) offers a solution to train a global machine learning model while still maintaining data privacy, without needing access to data stored locally at the client…